Machine Learning Engineer - 3D Vision Perception

Job description

The Perception team is responsible for fusing sensor data from multiple modalities and producing relevant representations for difficult and unstructured obstacles around the vehicle. We’re looking for someone with deep machine learning experience that can help with all stages of the model development lifecycle, including training, evaluation, and deployment. In this role, you will: Design, develop, train and evaluate multi-sensor fusion based deep learning models to understand obstacles and environmental context Understand and curate real and synthetic datasets to improve our models Perform latency optimization and deploy models to our robot fleet Build a deep understanding of Perception gaps and behavioral issues around difficult obstacle types in order to help plan and prioritize our work Collaborate with Prediction/Planner team to deploy fully autonomous vehicles in environments with difficult and rare obstacles, extreme weather conditions, and complex driving scenarios Qualifications: 5 years of industry experience or more Proficiency in Python and strong skills in C++ coding & debugging Deep Learning expertise, preferably with panoptic segmentation experience Experience develo...